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微电网复合储能多目标优化配置方法及评价指标
引用本文:谭兴国,王辉,张黎,邹亮.微电网复合储能多目标优化配置方法及评价指标[J].电力系统自动化,2014,38(8):7-14.
作者姓名:谭兴国  王辉  张黎  邹亮
作者单位:河南理工大学电气工程与自动化学院, 河南省焦作市 454003; 山东大学电气工程学院, 山东省济南市 250061
基金项目:中国博士后科学基金;国家自然科学基金
摘    要:复合储能在微电网功率平衡、平滑可再生能源波动、提升电能质量等方面发挥多重作用,针对包含光伏发电、风力发电和典型负荷的微电网,提出一种合理配置复合储能容量的方法。针对复合储能优化配置,以装置成本最低、功率匹配最佳、可再生能源输出功率平滑度最好建立复合储能多目标优化数学模型,采用自适应惯性权重的粒子群算法求解复合储能多目标函数最优解;针对子目标函数权重系数的确定,提出目标函数适应度离差排序法;提出了定量评估微电网储能多目标优化效果的参数指标,并以此为依据,对比了微电网内蓄电池单一储能多目标优化与复合储能多目标优化结果。最后,通过MATLAB编程进行实例验算,验证了方法的合理、有效性。

关 键 词:复合储能  微电网(微网)  多目标优化  离差排序法  评价指标  粒子群算法
收稿时间:2013/7/19 0:00:00
修稿时间:2014/3/24 0:00:00

Multi-objective Optimization of Hybrid Energy Storage and Assessment Indices in Microgrid
TAN Xingguo,WANG Hui,ZHANG Li and ZOU Liang.Multi-objective Optimization of Hybrid Energy Storage and Assessment Indices in Microgrid[J].Automation of Electric Power Systems,2014,38(8):7-14.
Authors:TAN Xingguo  WANG Hui  ZHANG Li and ZOU Liang
Affiliation:School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China; School of Electrical Engineering, Shandong University, Jinan 250061, China
Abstract:Hybrid energy storage technology has multiple effects on the microgrid, which include keeping power balanced, smoothing fluctuating power of renewable energy and improving power quality,etc.Based on a typical microgrid with photovoltaic/wind/storage and normal loads, a rational capacity allocation method for the hybrid energy storage system is put forward.A hybrid energy storage configuration multi-objective optimization mathematical model is developed at minimum cost, optimal match between power generation and load demand and best smoothing effects of renewable generation.An adaptive weight particle swarm optimization algorithm is put forward to get the optimal solution. To determine the weights of each objective function in the multi-objective optimization model,a ranking method based on average fitness deviation of each objective function is presented.To evaluate the impact of energy storage application on microgrid,assessment indices of energy storage multi-objective optimization are provided; based on which, single battery and composite energy storagemulti-objective compensation effects are compared with each other. Based on the actual data of photovoltaic/wind/load in microgrid programed by MATLAB, an illustrative example is calculated with the algorithm proposed.
Keywords:hybrid energy storage  microgrid  multi-objective optimization  deviation ranking method  assessment indices  particle swarm optimization (PSO) algorithm
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